TY  - CHAP
A1  - Ritschel, Konstantin
A1  - Stenzel, Adina
A1  - Czarnecki, Christian
A1  - Hong, Chin-Gi
ED  - Gesellschaft für Informatik e.V. (GI), 
T1  - Realizing robotic process automation potentials: an architectural perspective on a real-life implementation case
T2  - GI Edition Proceedings Band 314 "INFORMATIK 2021" Computer Science & Sustainability
N2  - The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is
required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA.
KW  - Robotic Process Automation
KW  - Enterprise Architecture
KW  - Implementation Case
Y1  - 2021
SN  - 9783885797081
SN  - 1617-5468
N1  - INFORMATIK 2021 – 51. Jahrestagung der Gesellschaft für Informatik, 27. September – 01. Oktober 2021 / Virtuell, Berlin.
https://informatik2021.gi.de/
SP  - 1303
EP  - 1311
PB  - Köllen
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Amir, Malik
A1  - Bauckhage, Christian
A1  - Chircu, Alina
A1  - Czarnecki, Christian
A1  - Knopf, Christian
A1  - Piatkowski, Nico
A1  - Sultanow, Eldar
T1  - What can we expect from quantum (digital) twins?
N2  - Digital twins enable the modeling and simulation of real-world entities
(objects, processes or systems), resulting in improvements in the associated value
chains. The emerging field of quantum computing holds tremendous promise for
evolving this virtualization towards Quantum (Digital) Twins (QDT) and
ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a
contradiction in terms - but instead describes a hybrid approach that can be
implemented using the technologies available today by combining classical
computing and digital twin concepts with quantum processing. This paper
presents the status quo of research and practice on quantum (digital) twins. It also
discuses their potential to create competitive advantage through real-time
simulation of highly complex, interconnected entities that helps companies better
address changes in their environment and differentiate their products and
services.
KW  - Artificial Intelligence
KW  - Digital Twin Evolution
KW  - Machine Learning
KW  - Quantum Computing
KW  - Quantum Machine Learning
Y1  - 2022
N1  - 17. Internationale Tagung Wirtschaftsinformatik, 21. – 23. Februar 2022, Nürnberg (online)
SP  - 1
EP  - 14
PB  - AIS Electronic Library (AISeL)
ER  -